The following are example topics-of-interest for workshop submissions:
Atmosphere
Example topics of interest include:
- Meteorology
- Atmospheric science
- Extreme weather
- Climate dynamics
- Air quality
Example articles:
- McGovern, A. et al, Using Machine Learning And Model Interpretation And Visualization Techniques To Gain Physical Insights In Atmospheric Science
- Manepalli, A. et al, Generalization Properties Of Machine Learning Based Weather Model Downscaling
- Beucler, T. et al, Towards Physically-consistent, Data-driven Models of Convection
Water
Example topics of interest include:
- Hydrology
- Oceanography
- Cryosphere
Example articles:
- Moshe, Z. et al, Hydronets: Leveraging River Structure for Hydrologic Modeling
- Kochanski, K. et al, Surrogate Sea Ice Model Enables Efficient Tuning
- Kratzert, F., Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets
Solid Earth
Example topics of interest include:
- Geophysics
- Mineral discovery
- Seismology
Example articles:
Energy
Example topics of interest include:
- Energy in the environment
- Energy and meteorology
- Renewable energy systems
Example articles:
Ecology
Example topics of interest include:
- Mathematical ecology
- Natural habitats
- Species distributions
- Biodiversity
- Ecosystem processes (primary production, nutrient cycling, niche construction, etc) and their interaction with species' ecology
- Human health and the environment
Example articles:
- Wood, C. et al, Precision mapping of snail habitat provides a powerful indicator of human schistosomiasis transmission
- Van Houtan, K. et al, Sentiment Analysis of Conservation Studies Captures Successes of Species Reintroductions
Simulations, Physics, and ML Theory in Earth Science
Example topics of interest include:
- Architectures which address unique problems in earth-science
- Simulating dynamic earth processes
- Transfer learning for challenging earth-science datasets
- Physics-informed learning
Examples articles:
- Mohan, A. et al, Embedding Hard Physical Constraints In Convolutional Neural Networks For 3d Turbulence
- Cranmer, M. et al, Lagrangian Neural Networks
- Sinai, Y., Learning data-driven discretizations for partial differential equations
- Cranmer, M. et al, Discovering Symbolic Models from Deep Learning with Inductive Biases
Sensing and Sampling
Example topics of interest include:
- Remote sensing
- In-situ sensing and sampling systems (including observational robots)
- Data interpolation and transformation techniques
Example articles:
- Neumann, M. et al, In-domain Representation Learning For Remote Sensing
- Peters, B. et al, Fully Reversible Neural Networks For Large-scale Surface And Sub-surface Characterization Via Remote Sensing
- Hansen, J. et al, Coverage Optimization with Non-Actuated, Floating Mobile Sensors using Iterative Trajectory Planning in Marine Flow Fields
People-Earth
Example topics of interest include:
- The impact of earth-science learning systems on society
- Public engagement
- Environmental justice
- Sustainability
Example articles:
- Donges, J. et al, Earth system modeling with endogenous and dynamic human societies: the copan: CORE open World–Earth modeling framework
- Standford HAI
Benchmark Datasets
Example topics of interest include:
- Earth science datasets
- Techniques for data collection and labeling (crowdsourcing, intelligent agents, etc)
Example articles: